Peter J. Tummino
- Molecular Biology top 2%
- Cardiology and Cardiovascular Medicine top 2%
- Oncology top 5%
- Endocrinology, Diabetes and Metabolism top 2%
- Infectious Diseases top 5%
- Co-authors
- Robert A. CopelandChad VickersMichael A. PataneVirendar K. KaushikJames M. GavinPaul HalesThomas F. ParsonsAndrew J. Nichols
- Topics
- HIV/AIDS drug development and treatment (16 papers)Epigenetics and DNA Methylation (13 papers)HIV Research and Treatment (11 papers)
- Journals
- NatureProceedings of the National Academy of SciencesJournal of the American Chemical Society
- Partner nations
- United StatesUnited KingdomNetherlands
In The Last Decade
Peter J. Tummino
74 papers receiving 4.7k citations
Hit Papers
Peers
Comparison fields: 5 of 142
- Molecular Biology 2.7k
- Cardiology and Cardiovascular Medicine 761
- Oncology 614
- Endocrinology, Diabetes and Metabolism 562
- Infectious Diseases 549
Countries citing papers authored by Peter J. Tummino
This map shows the geographic impact of Peter J. Tummino's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Peter J. Tummino with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter J. Tummino more than expected).
Fields of papers citing papers by Peter J. Tummino
This network shows the impact of papers produced by Peter J. Tummino. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Peter J. Tummino. The network helps show where Peter J. Tummino may publish in the future.
Co-authorship network of co-authors of Peter J. Tummino
This figure shows the co-authorship network connecting the top 25 collaborators of Peter J. Tummino. A scholar is included among the top collaborators of Peter J. Tummino based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Peter J. Tummino. Peter J. Tummino is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 23 | |
| 4 | 35 | |
| 5 | 140 | |
| 6 | 44 | |
| 7 | 61 | |
| 8 | 177 | |
| 9 | 9 | |
| 10 | 38 | |
| 11 | 98 | |
| 12 | 92 | |
| 13 | 38 | |
| 14 | 22 | |
| 15 | 2 | |
| 16 | 33 | |
| 17 | 22 | |
| 18 | 10 | |
| 19 | 32 | |
| 20 | 22 |
About Peter J. Tummino
Peter J. Tummino is a scholar working on Virology, Infectious Diseases and Molecular Biology, having authored 76 papers that have together received 4.8k indexed citations. Recurring topics across this work include HIV/AIDS drug development and treatment (16 papers), Epigenetics and DNA Methylation (13 papers) and HIV Research and Treatment (11 papers). The work is most often cited by research in Molecular Biology (2.7k citations), Virology (166 citations) and Endocrinology, Diabetes and Metabolism (562 citations). Peter J. Tummino has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Robert A. Copeland, Chad Vickers, Michael A. Patane, Virendar K. Kaushik, James M. Gavin, Paul Hales, Thomas F. Parsons, Andrew J. Nichols, Kevin Godbout and Lawrence R. Dick. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.